Int. Data Analyst to work closely with various investments and corporate teams for our large financial client - 6042

Int. Data Analyst work closely with various investments and corporate teams for our large financial client - 6042

Contract duration: 12 months

Location: Downtown Toronto (Hybrid 2x/week)

Hours: 40hrs/week

Overview:

The Data Specialist will report to the Data Analytics Manager; she/he will work closely with various investments and corporate teams on analytics to support decision making

What you will do:

• Support the team in delivering key reports, insights and visualizations per priorities set by the business
• Working closely with team, analyze and interpret complex sets of data.
• Develop data pipeline to capture data from multiple sources/formats.
• Perform data preparation and data modelling to enable easy consumption for reporting purposes.
• Implement well-designed, scalable, and automated reports using current and emerging technology.
• Visualize data and metrics to produce insightful reports by following design standard.
• Identify and provide recommendations for improvements in our data analytics practices.
• Participate in status meetings; report and communicate on status as appropriate.
• Opportunity to experiment with Large Language Model, assist and develop predictive analysis, and/or Gen-AI applications.
• Contribute to the design and implementation of various data foundations and architecture to support long-term analytical needs
• Be able to research independently for potential solutions to problems encountered in programming
• Stay updated with technological trends and direction; continuously upgrading personal, technical, and IT-related skills.
• Utilize innovative approaches to identify, analyze, and solve complex data challenges, ensuring efficient and effective outcomes
• Translate complex technical information into clear, concise insights for non-technical stakeholders, enabling informed decision-making across the organization
• Other duties as required

Must haves:

• 3+ years’ experience as a Data Analyst in business-oriented data analytics.
• Strong programming skills (Python, SQL)
• Experience with data warehousing and big data technologies such as SQL Server, Snowflake, Spark, Databricks etc.
• Proficient with data visualization tools: PBI/Tableau etc.
• Knowledge of cloud platforms (e.g., Azure, AWS, GCP) and related services

Nice to haves:

• Minor or advanced degree in Finance is an asset.

Education:

• Bachelor's or master's degree in quantitative domains: Mathematics, Statistics, Computer Science, or Engineering.
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Interview Process:

• First Round: Virtual Interview - Math Assessment & Coding Test
• Second Round: On-site Interview in Toronto